GigaFrames: Large-Scale Surveillance and Computational Forensics

If, on the one hand, surveillance cameras, increasingly available in large cities, provide a large amount of visual data, on the other hand, the analysis of these data becomes a great challenge when done manually. Consequently, the automatic processing of this data becomes essential in order to assist security agents in crime prevention (vigilance) and search for evidence in cases where crimes have already occurred (Computational Forensics). Therefore, the instant of occurrence of an event (for example, a crime) marks an important tangency between the two areas. GigaFrames focuses on the development of computer vision and machine learning techniques to perform environment monitoring and digital forensic analysis from large volumes of data captured through surveillance cameras.